Average Temperature Forecasting Based on Deli Serdang Station Using Long Short-Term Memory Mode

Ilham Junaedi; Endah Paramita; Nora Valencia Sinaga; Sri Wahyuni; Syahrul Humaidi

doi:10.53842/3nqxkj30

Authors

Ilham Junaedi Indonesian Agency for Meteorological, Climatological and Geophysics Author
Endah Paramita Indonesian Agency for Meteorological, Climatological and Geophysics Author
Nora Valencia Sinaga Indonesian Agency for Meteorological, Climatological and Geophysics Author
Sri Wahyuni Indonesian Agency for Meteorological, Climatological and Geophysics Author
Syahrul Humaidi University of North Sumatra Author

DOI:

https://doi.org/10.53842/3nqxkj30

Keywords:

Average Temperature, Average Temperature, Deliserdang Station, Deli Serdang Station, LSTM, LSTM

Abstract

An understanding of designs and gage of typical temperature joined of parameter climate and climate data for better water resource organization and orchestrating amid a bowl is uncommonly imperative. Examine climate designs utilizing ordinary and neighborhood every year typical temperatures, compare and make discernments. amid this consider, we'll analyze adjacent and conventional typical temperature data in 96031 Station backed recognition station input. the preeminent objective of this considers to appear the execution of the conventional temperature in an exceedingly single station and to predict the ordinary temperature data utilizing the Long memory Illustrate approach. bolstered the comes about of standard informatics of exploring temperature with adjacent temperature relationship, we got the appear of preparing bend, remaining plot, and thus the diffuse plot is showed up utilizing these codes. the decent execution of 96031 Station had a Mean Squared Error esteem of 0.01 and R squared esteem 0.98, concerning zero will speak to superior quality of the indicator.

Author Biographies

Ilham Junaedi, Indonesian Agency for Meteorological, Climatological and Geophysics

Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) Regional Office 1.
Endah Paramita, Indonesian Agency for Meteorological, Climatological and Geophysics

Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) Regional Office 1
Nora Valencia Sinaga, Indonesian Agency for Meteorological, Climatological and Geophysics

Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) Regional Office 1
Sri Wahyuni, Indonesian Agency for Meteorological, Climatological and Geophysics

Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG) Regional Office 1
Syahrul Humaidi, University of North Sumatra

Department of Physics, FMIPA, Sumatera Utara University, Medan, Indonesia

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